hermes-agent/tests/tools/test_tts_streaming.py

224 lines
7.9 KiB
Python

"""Tests for the provider-agnostic streaming TTS backend (tools.tts_streaming)
and its dispatch through tools.tts_tool.stream_tts_to_speaker.
No live audio or network: the ElevenLabs/OpenAI SDKs, sounddevice, and the sync
synth path are all mocked. Covers the registry/resolver, provider availability,
the chunked-streamer playback path, and the universal per-sentence sync fallback.
"""
import queue
import threading
from unittest.mock import MagicMock, patch
import pytest
import tools.tts_streaming as ts
pytest.importorskip("numpy")
# ── SentenceChunker ──────────────────────────────────────────────────────
class TestSentenceChunker:
def test_cuts_sentence_the_moment_its_boundary_arrives(self):
c = ts.SentenceChunker()
assert c.feed("This is the first full") == []
assert c.feed(" sentence of it all. And") == ["This is the first full sentence of it all. "]
assert c.flush() == ["And"]
def test_think_blocks_are_stripped_even_across_deltas(self):
c = ts.SentenceChunker()
assert c.feed("<think>secret reason") == []
assert c.feed("ing</think>The actual spoken answer. ") == ["The actual spoken answer. "]
def test_paragraph_break_is_a_boundary(self):
c = ts.SentenceChunker()
assert c.feed("A paragraph without punctuation\n\nnext one") == [
"A paragraph without punctuation\n\n"
]
# ── Interruption latch ───────────────────────────────────────────────────
class TestSpeechInterruptedLatch:
def test_take_pops_and_reports_recent_barge(self):
ts.mark_speech_interrupted()
assert ts.take_speech_interrupted() is True
assert ts.take_speech_interrupted() is False # one-shot
def test_stale_barge_expires(self, monkeypatch):
ts.mark_speech_interrupted()
at = ts._interrupted_at
monkeypatch.setattr(ts.time, "monotonic", lambda: at + ts._INTERRUPT_TTL_S + 1)
assert ts.take_speech_interrupted() is False
# ── Registry + resolver ──────────────────────────────────────────────────
def _register_fake(monkeypatch, name, available=True, chunks=(b"\x00\x00",)):
class _Fake(ts.StreamingTTSProvider):
sample_rate = 24000
@staticmethod
def available():
return available
def stream(self, text):
yield from chunks
monkeypatch.setitem(ts._REGISTRY, name, _Fake)
return _Fake
def test_resolve_returns_configured_streamer(monkeypatch):
_register_fake(monkeypatch, "faketts")
prov = ts.resolve_streaming_provider({"provider": "faketts"})
assert isinstance(prov, ts.StreamingTTSProvider)
def test_never_swaps_provider_for_streaming(monkeypatch):
# A registered streamer must NOT be substituted when the user picked another
# (non-streaming) provider — that would silently change their voice.
_register_fake(monkeypatch, "elevenlabs")
assert ts.resolve_streaming_provider({"provider": "edge"}) is None
# ── Built-in provider availability ───────────────────────────────────────
def test_elevenlabs_available_reflects_key(monkeypatch):
# Key lookups now route through the provider-secret resolver
# (config > env/.env > credential pool), not bare get_env_value.
monkeypatch.setattr(ts, "_resolve_key", lambda env, pid: "key" if env == "ELEVENLABS_API_KEY" else "")
assert ts.ElevenLabsStreamer.available() is True
monkeypatch.setattr(ts, "_resolve_key", lambda env, pid: "")
assert ts.ElevenLabsStreamer.available() is False
def test_openai_available_reflects_audio_key_resolution(monkeypatch):
monkeypatch.setattr(ts, "_openai_config_api_key", lambda: "")
monkeypatch.setattr(ts, "resolve_openai_audio_api_key", lambda: "voice-key")
assert ts.OpenAIStreamer.available() is True
monkeypatch.setattr(ts, "resolve_openai_audio_api_key", lambda: "")
assert ts.OpenAIStreamer.available() is False
# tts.openai.api_key from config.yaml counts too
monkeypatch.setattr(ts, "_openai_config_api_key", lambda: "cfg-key")
assert ts.OpenAIStreamer.available() is True
def test_openai_streamer_prefers_configured_api_key(monkeypatch):
captured = {}
class _Response:
def __enter__(self):
return self
def __exit__(self, *_args):
return False
def iter_bytes(self):
yield b"\x01\x00"
class _StreamingCreate:
@staticmethod
def create(**kwargs):
return _Response()
class _OpenAI:
def __init__(self, **kwargs):
captured["client"] = kwargs
self.audio = MagicMock()
self.audio.speech.with_streaming_response = _StreamingCreate()
monkeypatch.setattr(ts, "resolve_openai_audio_api_key", lambda: "env-key")
monkeypatch.setattr(ts, "get_env_value", lambda key, *args: None)
monkeypatch.setattr("openai.OpenAI", _OpenAI)
config = {
"provider": "openai",
"openai": {"api_key": "cfg-key", "base_url": "http://local-tts.example/v1"},
}
streamer = ts.resolve_streaming_provider(config)
assert streamer is not None
assert list(streamer.stream("Streaming test.")) == [b"\x01\x00"]
assert captured["client"]["api_key"] == "cfg-key"
# ── Dispatch: chunked streamer path ──────────────────────────────────────
def _drain_queue(sentences):
q = queue.Queue()
for s in sentences:
q.put(s)
q.put(None)
return q
def _sd_mock():
sd = MagicMock()
out = MagicMock()
sd.OutputStream.return_value = out
return sd, out
# ── Dispatch: universal per-sentence sync fallback ───────────────────────
# ── tts.streaming.provider config knob (salvaged from PR #47588) ─────────
# ── Credential routing: resolve_provider_secret, never bare env ──────────
def test_elevenlabs_available_routes_through_secret_resolver(monkeypatch):
calls = []
def _fake_resolve(env_var, provider_id):
calls.append((env_var, provider_id))
return "pool-key"
monkeypatch.setattr(ts, "_resolve_key", _fake_resolve)
assert ts.ElevenLabsStreamer.available() is True
assert ("ELEVENLABS_API_KEY", "elevenlabs") in calls
def test_xai_available_uses_oauth_credential_resolver(monkeypatch):
import sys
import types
fake = types.ModuleType("tools.xai_http")
fake.resolve_xai_http_credentials = lambda: {"api_key": "xai-key"}
monkeypatch.setitem(sys.modules, "tools.xai_http", fake)
assert ts.XAIStreamer.available() is True
fake.resolve_xai_http_credentials = lambda: {"api_key": ""}
assert ts.XAIStreamer.available() is False
# ── Gemini SSE parsing ────────────────────────────────────────────────────
# ── xAI WebSocket bridge ─────────────────────────────────────────────────
# ── 16 MiB per-sentence stream cap ───────────────────────────────────────
def test_stream_cap_truncates_runaway_upstream(monkeypatch):
monkeypatch.setattr(ts, "_STREAM_SENTENCE_BYTE_CAP", 100)
def _endless():
while True:
yield b"\x00" * 64
out = list(ts._capped(_endless(), "test"))
assert len(out) == 1 # 64 ok, 128 > cap → stop
assert sum(len(c) for c in out) <= 100